psbcGroup: Penalized Parametric and Semiparametric Bayesian Survival Models with Shrinkage and Grouping Priors

Algorithms to implement various Bayesian penalized survival regression models including: semiparametric proportional hazards models with lasso priors (Lee et al., Int J Biostat, 2011 <doi:10.2202/1557-4679.1301>) and three other shrinkage and group priors (Lee et al., Stat Anal Data Min, 2015 <doi:10.1002/sam.11266>); parametric accelerated failure time models with group/ordinary lasso prior (Lee et al. Comput Stat Data Anal, 2017 <doi:10.1016/j.csda.2017.02.014>).

Version:	1.7
Depends:	LearnBayes, SuppDists, mvtnorm, survival, R (≥ 3.2.3)
Published:	2024-01-09
DOI:	10.32614/CRAN.package.psbcGroup
Author:	Kyu Ha Lee, Sounak Chakraborty, Harrison Reeder, (Tony) Jianguo Sun
Maintainer:	Kyu Ha Lee <klee at hsph.harvard.edu>
License:	GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation:	yes
In views:	Survival
CRAN checks:	psbcGroup results

Documentation:

Reference manual:

psbcGroup.pdf

Downloads:

Package source:	psbcGroup_1.7.tar.gz
Windows binaries:	r-devel: psbcGroup_1.7.zip, r-release: psbcGroup_1.7.zip, r-oldrel: psbcGroup_1.7.zip
macOS binaries:	r-release (arm64): psbcGroup_1.7.tgz, r-oldrel (arm64): psbcGroup_1.7.tgz, r-release (x86_64): psbcGroup_1.7.tgz, r-oldrel (x86_64): psbcGroup_1.7.tgz
Old sources:	psbcGroup archive

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